Comments Report

Dataset statistics

Number of variables	12
Number of observations	999
Missing cells	410
Missing cells (%)	3.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	697.0 KiB
Average record size in memory	714.4 B

Variable types

Numeric	6
Text	2
DateTime	1
URL	1
Categorical	1
Unsupported	1

Alerts

`complexity` has 410 (41.0%) missing values	Missing
`views` is highly skewed (γ1 = 27.7391176)	Skewed
`id` has unique values	Unique
`published_datetime` has unique values	Unique
`title` has unique values	Unique
`url` has unique values	Unique
`tags` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`votes` has 52 (5.2%) zeros	Zeros
`comments` has 112 (11.2%) zeros	Zeros

Reproduction

Analysis started	2024-03-01 13:23:58.124587
Analysis finished	2024-03-01 13:24:04.244923
Duration	6.12 seconds
Software version	ydata-profiling vv4.6.5
Download configuration	config.json

id
Real number (ℝ)

UNIQUE

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	742771.95

Minimum	599113
Maximum	796921
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	599113
5-th percentile	687171.4
Q1	713091
median	745708
Q3	772800
95-th percentile	792079.2
Maximum	796921
Range	197808
Interquartile range (IQR)	59709

Descriptive statistics

Standard deviation	34619.835
Coefficient of variation (CV)	0.046608969
Kurtosis	-0.97963001
Mean	742771.95
Median Absolute Deviation (MAD)	30062
Skewness	-0.2126356
Sum	7.4202918 × 10⁸
Variance	1.1985329 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
796847	1	0.1%
722962	1	0.1%
724314	1	0.1%
724098	1	0.1%
723600	1	0.1%
723870	1	0.1%
722108	1	0.1%
723728	1	0.1%
723702	1	0.1%
723030	1	0.1%
Other values (989)	989	99.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
599113	1	0.1%
660697	1	0.1%
679542	1	0.1%
679952	1	0.1%
680240	1	0.1%
680382	1	0.1%
680670	1	0.1%
680770	1	0.1%
681284	1	0.1%
681398	1	0.1%

Value	Count	Frequency (%)
796921	1	0.1%
796847	1	0.1%
796793	1	0.1%
796669	1	0.1%
796633	1	0.1%
796579	1	0.1%
796385	1	0.1%
796335	1	0.1%
796169	1	0.1%
796143	1	0.1%

author
Text

Distinct	564
Distinct (%)	56.5%
Missing	0
Missing (%)	0.0%
Memory size	64.6 KiB

Length

Max length	23
Median length	19
Mean length	9.0870871
Min length	3

Characters and Unicode

Total characters	9078
Distinct characters	64
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	422 ?
Unique (%)	42.2%

Sample

1st row	Parker0
2nd row	AnastasiaIvanova8
3rd row	Egorzaa
4th row	winfox_tech
5th row	WolodyaCh

Value	Count	Frequency (%)
aio350	55	5.5%
gmtd	18	1.8%
mr-pickles	17	1.7%
sergeytolkachyov	14	1.4%
melnik909	13	1.3%
simbirsoft_frontend	12	1.2%
nin-jin	10	1.0%
rostislavdugin	10	1.0%
qmzik	10	1.0%
parker0	9	0.9%
Other values (554)	831	83.2%

Most occurring characters

Value	Count	Frequency (%)
a	829	9.1%
o	666	7.3%
i	639	7.0%
e	628	6.9%
r	514	5.7%
n	505	5.6%
s	398	4.4%
t	392	4.3%
l	371	4.1%
k	350	3.9%
Other values (54)	3786	41.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7610	83.8%
Uppercase Letter	808	8.9%
Decimal Number	463	5.1%
Connector Punctuation	149	1.6%
Dash Punctuation	48	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	829	10.9%
o	666	8.8%
i	639	8.4%
e	628	8.3%
r	514	6.8%
n	505	6.6%
s	398	5.2%
t	392	5.2%
l	371	4.9%
k	350	4.6%
Other values (16)	2318	30.5%

Uppercase Letter

Value	Count	Frequency (%)
S	96	11.9%
M	59	7.3%
A	54	6.7%
B	52	6.4%
D	51	6.3%
P	49	6.1%
G	49	6.1%
L	48	5.9%
R	38	4.7%
T	37	4.6%
Other values (16)	275	34.0%

Decimal Number

Value	Count	Frequency (%)
0	111	24.0%
3	80	17.3%
5	72	15.6%
1	54	11.7%
9	40	8.6%
2	36	7.8%
4	20	4.3%
7	19	4.1%
6	16	3.5%
8	15	3.2%

Connector Punctuation

Value	Count	Frequency (%)
_	149	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	48	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8418	92.7%
Common	660	7.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	829	9.8%
o	666	7.9%
i	639	7.6%
e	628	7.5%
r	514	6.1%
n	505	6.0%
s	398	4.7%
t	392	4.7%
l	371	4.4%
k	350	4.2%
Other values (42)	3126	37.1%

Common

Value	Count	Frequency (%)
_	149	22.6%
0	111	16.8%
3	80	12.1%
5	72	10.9%
1	54	8.2%
-	48	7.3%
9	40	6.1%
2	36	5.5%
4	20	3.0%
7	19	2.9%
Other values (2)	31	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	9078	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	829	9.1%
o	666	7.3%
i	639	7.0%
e	628	6.9%
r	514	5.7%
n	505	5.6%
s	398	4.4%
t	392	4.3%
l	371	4.1%
k	350	3.9%
Other values (54)	3786	41.7%

published_datetime
Date

UNIQUE

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	7.9 KiB

Minimum	2022-08-02 09:21:40+00:00
Maximum	2024-02-29 07:00:54+00:00

Histogram

Histogram with fixed size bins (bins=50)

title
Text

UNIQUE

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	278.7 KiB

Length

Max length	120
Median length	90
Mean length	55.296296
Min length	15

Characters and Unicode

Total characters	55241
Distinct characters	166
Distinct categories	14 ?
Distinct scripts	3 ?
Distinct blocks	7 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	999 ?
Unique (%)	100.0%

Sample

1st row	Chromium. Отрисовка страницы с помощью Blink, CC и планировщика
2nd row	Создание WordPress-плагина для отправки SMS-сообщений
3rd row	Как разработать браузерное расширение в Chrome на React: разбираем на примере Cloudhood
4th row	Skunk Works курильщика, или собственный лоу-код на страже продаж
5th row	Telegram Mini Apps с мгновенной оплатой

Value	Count	Frequency (%)
в	299	3.7%
и	274	3.4%
как	214	2.7%
с	167	2.1%
на	166	2.1%
для	123	1.5%
—	75	0.9%
часть	59	0.7%
react	59	0.7%
не	58	0.7%
Other values (3464)	6519	81.4%

Most occurring characters

Value	Count	Frequency (%)
	6995	12.7%
о	3583	6.5%
а	3342	6.0%
и	3079	5.6%
е	3045	5.5%
т	2449	4.4%
н	2252	4.1%
р	2169	3.9%
с	1796	3.3%
в	1553	2.8%
Other values (156)	24978	45.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42937	77.7%
Space Separator	7016	12.7%
Uppercase Letter	3395	6.1%
Other Punctuation	820	1.5%
Decimal Number	519	0.9%
Dash Punctuation	344	0.6%
Math Symbol	57	0.1%
Close Punctuation	43	0.1%
Open Punctuation	43	0.1%
Final Punctuation	30	0.1%
Other values (4)	37	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	3583	8.3%
а	3342	7.8%
и	3079	7.2%
е	3045	7.1%
т	2449	5.7%
н	2252	5.2%
р	2169	5.1%
с	1796	4.2%
в	1553	3.6%
к	1476	3.4%
Other values (56)	18193	42.4%

Uppercase Letter

Value	Count	Frequency (%)
S	389	11.5%
К	205	6.0%
P	186	5.5%
C	170	5.0%
T	161	4.7%
R	144	4.2%
A	135	4.0%
П	113	3.3%
M	100	2.9%
С	98	2.9%
Other values (42)	1694	49.9%

Other Punctuation

Value	Count	Frequency (%)
.	244	29.8%
,	228	27.8%
:	215	26.2%
?	75	9.1%
/	21	2.6%
…	8	1.0%
&	7	0.9%
!	6	0.7%
%	5	0.6%
'	3	0.4%
Other values (5)	8	1.0%

Decimal Number

Value	Count	Frequency (%)
2	140	27.0%
0	112	21.6%
1	90	17.3%
3	69	13.3%
4	34	6.6%
5	23	4.4%
6	17	3.3%
7	15	2.9%
8	12	2.3%
9	7	1.3%

Math Symbol

Value	Count	Frequency (%)
+	42	73.7%
=	5	8.8%
\|	3	5.3%
>	2	3.5%
<	2	3.5%
→	2	3.5%
~	1	1.8%

Space Separator

Value	Count	Frequency (%)
	6995	99.7%
	19	0.3%
	2	< 0.1%

Dash Punctuation

Value	Count	Frequency (%)
-	263	76.5%
—	75	21.8%
–	6	1.7%

Close Punctuation

Value	Count	Frequency (%)
)	41	95.3%
]	2	4.7%

Open Punctuation

Value	Count	Frequency (%)
(	41	95.3%
[	2	4.7%

Final Punctuation

Value	Count	Frequency (%)
»	28	93.3%
’	2	6.7%

Initial Punctuation

Value	Count	Frequency (%)
«	28	100.0%

Currency Symbol

Value	Count	Frequency (%)
$	4	100.0%

Other Symbol

Value	Count	Frequency (%)
№	3	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	2	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	37798	68.4%
Common	8916	16.1%
Latin	8527	15.4%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	3583	9.5%
а	3342	8.8%
и	3079	8.1%
е	3045	8.1%
т	2449	6.5%
н	2252	6.0%
р	2169	5.7%
с	1796	4.8%
в	1553	4.1%
к	1476	3.9%
Other values (49)	13054	34.5%

Common

Value	Count	Frequency (%)
	6995	78.5%
-	263	2.9%
.	244	2.7%
,	228	2.6%
:	215	2.4%
2	140	1.6%
0	112	1.3%
1	90	1.0%
?	75	0.8%
—	75	0.8%
Other values (45)	479	5.4%

Latin

Value	Count	Frequency (%)
e	830	9.7%
a	579	6.8%
t	552	6.5%
o	469	5.5%
r	457	5.4%
i	391	4.6%
S	389	4.6%
n	351	4.1%
c	316	3.7%
s	312	3.7%
Other values (42)	3881	45.5%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	37798	68.4%
ASCII	17261	31.2%
Punctuation	93	0.2%
None	77	0.1%
Math Alphanum	7	< 0.1%
Letterlike Symbols	3	< 0.1%
Arrows	2	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6995	40.5%
e	830	4.8%
a	579	3.4%
t	552	3.2%
o	469	2.7%
r	457	2.6%
i	391	2.3%
S	389	2.3%
n	351	2.0%
c	316	1.8%
Other values (79)	5932	34.4%

Cyrillic

Value	Count	Frequency (%)
о	3583	9.5%
а	3342	8.8%
и	3079	8.1%
е	3045	8.1%
т	2449	6.5%
н	2252	6.0%
р	2169	5.7%
с	1796	4.8%
в	1553	4.1%
к	1476	3.9%
Other values (49)	13054	34.5%

Punctuation

Value	Count	Frequency (%)
—	75	80.6%
…	8	8.6%
–	6	6.5%
’	2	2.2%
	2	2.2%

None

Value	Count	Frequency (%)
«	28	36.4%
»	28	36.4%
	19	24.7%
＂	2	2.6%

Letterlike Symbols

Value	Count	Frequency (%)
№	3	100.0%

Arrows

Value	Count	Frequency (%)
→	2	100.0%

Math Alphanum

Value	Count	Frequency (%)
𝚍	1	14.3%
𝚒	1	14.3%
𝚛	1	14.3%
𝚊	1	14.3%
𝚞	1	14.3%
𝚝	1	14.3%
𝚘	1	14.3%

url
URL

UNIQUE

Distinct	999
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	98.2 KiB

https://habr.com/ru/articles/796847/	1
https://habr.com/ru/articles/722962/	1
https://habr.com/ru/companies/sportmaster_lab/articles/724314/	1
https://habr.com/ru/articles/724098/	1
https://habr.com/ru/companies/timeweb/articles/723600/	1
Other values (994)	994

Value	Count	Frequency (%)
https://habr.com/ru/articles/796847/	1	0.1%
https://habr.com/ru/articles/722962/	1	0.1%
https://habr.com/ru/companies/sportmaster_lab/articles/724314/	1	0.1%
https://habr.com/ru/articles/724098/	1	0.1%
https://habr.com/ru/companies/timeweb/articles/723600/	1	0.1%
https://habr.com/ru/articles/723870/	1	0.1%
https://habr.com/ru/companies/timeweb/articles/722108/	1	0.1%
https://habr.com/ru/articles/723728/	1	0.1%
https://habr.com/ru/articles/723702/	1	0.1%
https://habr.com/ru/articles/723030/	1	0.1%
Other values (989)	989	99.0%

Value	Count	Frequency (%)
https	999	100.0%

Value	Count	Frequency (%)
habr.com	999	100.0%

Value	Count	Frequency (%)
/ru/articles/796847/	1	0.1%
/ru/articles/722962/	1	0.1%
/ru/companies/sportmaster_lab/articles/724314/	1	0.1%
/ru/articles/724098/	1	0.1%
/ru/companies/timeweb/articles/723600/	1	0.1%
/ru/articles/723870/	1	0.1%
/ru/companies/timeweb/articles/722108/	1	0.1%
/ru/articles/723728/	1	0.1%
/ru/articles/723702/	1	0.1%
/ru/articles/723030/	1	0.1%
Other values (989)	989	99.0%

Value	Count	Frequency (%)
	999	100.0%

Value	Count	Frequency (%)
	999	100.0%

complexity
Categorical

MISSING

Distinct	3
Distinct (%)	0.5%
Missing	410
Missing (%)	41.0%
Memory size	89.6 KiB

Простой	285
Средний	280
Сложный	24

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	4123
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Простой
2nd row	Средний
3rd row	Средний
4th row	Простой
5th row	Средний

Common Values

Value	Count	Frequency (%)
Простой	285	28.5%
Средний	280	28.0%
Сложный	24	2.4%
(Missing)	410	41.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
простой	285	48.4%
средний	280	47.5%
сложный	24	4.1%

Most occurring characters

Value	Count	Frequency (%)
о	594	14.4%
й	589	14.3%
р	565	13.7%
С	304	7.4%
н	304	7.4%
П	285	6.9%
с	285	6.9%
т	285	6.9%
е	280	6.8%
д	280	6.8%
Other values (4)	352	8.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3534	85.7%
Uppercase Letter	589	14.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
о	594	16.8%
й	589	16.7%
р	565	16.0%
н	304	8.6%
с	285	8.1%
т	285	8.1%
е	280	7.9%
д	280	7.9%
и	280	7.9%
л	24	0.7%
Other values (2)	48	1.4%

Uppercase Letter

Value	Count	Frequency (%)
С	304	51.6%
П	285	48.4%

Most occurring scripts

Value	Count	Frequency (%)
Cyrillic	4123	100.0%

Most frequent character per script

Cyrillic

Value	Count	Frequency (%)
о	594	14.4%
й	589	14.3%
р	565	13.7%
С	304	7.4%
н	304	7.4%
П	285	6.9%
с	285	6.9%
т	285	6.9%
е	280	6.8%
д	280	6.8%
Other values (4)	352	8.5%

Most occurring blocks

Value	Count	Frequency (%)
Cyrillic	4123	100.0%

Most frequent character per block

Cyrillic

Value	Count	Frequency (%)
о	594	14.4%
й	589	14.3%
р	565	13.7%
С	304	7.4%
н	304	7.4%
П	285	6.9%
с	285	6.9%
т	285	6.9%
е	280	6.8%
д	280	6.8%
Other values (4)	352	8.5%

reading_time
Real number (ℝ)

Distinct	38
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.4014014

Minimum	1
Maximum	62
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	1
5-th percentile	3
Q1	5
median	7
Q3	10
95-th percentile	19.1
Maximum	62
Range	61
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	6.0980662
Coefficient of variation (CV)	0.72583916
Kurtosis	11.830899
Mean	8.4014014
Median Absolute Deviation (MAD)	3
Skewness	2.6893284
Sum	8393
Variance	37.186411
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=38)

Value	Count	Frequency (%)
5	133	13.3%
4	111	11.1%
6	107	10.7%
7	98	9.8%
8	92	9.2%
3	83	8.3%
10	56	5.6%
9	50	5.0%
12	33	3.3%
2	32	3.2%
Other values (28)	204	20.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	6	0.6%
2	32	3.2%
3	83	8.3%
4	111	11.1%
5	133	13.3%
6	107	10.7%
7	98	9.8%
8	92	9.2%
9	50	5.0%
10	56	5.6%

Value	Count	Frequency (%)
62	1	0.1%
50	1	0.1%
40	1	0.1%
37	1	0.1%
34	4	0.4%
33	4	0.4%
32	2	0.2%
31	2	0.2%
30	1	0.1%
29	3	0.3%

views
Real number (ℝ)

SKEWED

Distinct	166
Distinct (%)	16.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	11486.579

Minimum	358
Maximum	1500000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	358
5-th percentile	1300
Q1	3200
median	5900
Q3	12000
95-th percentile	31100
Maximum	1500000
Range	1499642
Interquartile range (IQR)	8800

Descriptive statistics

Standard deviation	49331.206
Coefficient of variation (CV)	4.2946824
Kurtosis	833.08772
Mean	11486.579
Median Absolute Deviation (MAD)	3300
Skewness	27.739118
Sum	11475092
Variance	2.4335679 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
12000	37	3.7%
11000	24	2.4%
15000	22	2.2%
13000	21	2.1%
10000	20	2.0%
14000	19	1.9%
2200	16	1.6%
18000	16	1.6%
2800	15	1.5%
3100	15	1.5%
Other values (156)	794	79.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
358	1	0.1%
549	1	0.1%
620	1	0.1%
639	2	0.2%
672	1	0.1%
723	1	0.1%
739	1	0.1%
766	1	0.1%
789	1	0.1%
790	1	0.1%

Value	Count	Frequency (%)
1500000	1	0.1%
203000	1	0.1%
186000	1	0.1%
141000	1	0.1%
115000	1	0.1%
84000	1	0.1%
78000	1	0.1%
76000	1	0.1%
71000	2	0.2%
70000	2	0.2%

tags
Unsupported

REJECTED UNSUPPORTED

Missing	0
Missing (%)	0.0%
Memory size	124.6 KiB

votes
Real number (ℝ)

ZEROS

Distinct	94
Distinct (%)	9.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	16.085085

Minimum	0
Maximum	271
Zeros	52
Zeros (%)	5.2%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	3
median	8
Q3	17
95-th percentile	57.2
Maximum	271
Range	271
Interquartile range (IQR)	14

Descriptive statistics

Standard deviation	24.953419
Coefficient of variation (CV)	1.5513389
Kurtosis	23.997442
Mean	16.085085
Median Absolute Deviation (MAD)	5
Skewness	4.1526078
Sum	16069
Variance	622.67311
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3	82	8.2%
4	72	7.2%
2	68	6.8%
5	53	5.3%
1	52	5.2%
0	52	5.2%
6	50	5.0%
8	43	4.3%
7	42	4.2%
10	36	3.6%
Other values (84)	449	44.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	52	5.2%
1	52	5.2%
2	68	6.8%
3	82	8.2%
4	72	7.2%
5	53	5.3%
6	50	5.0%
7	42	4.2%
8	43	4.3%
9	33	3.3%

Value	Count	Frequency (%)
271	1	0.1%
190	1	0.1%
177	1	0.1%
171	1	0.1%
167	2	0.2%
166	1	0.1%
152	1	0.1%
148	1	0.1%
142	1	0.1%
135	1	0.1%

bookmarks
Real number (ℝ)

Distinct	187
Distinct (%)	18.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	56.68969

Minimum	2
Maximum	747
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	2
5-th percentile	8
Q1	21
median	38
Q3	69.5
95-th percentile	170.1
Maximum	747
Range	745
Interquartile range (IQR)	48.5

Descriptive statistics

Standard deviation	61.261601
Coefficient of variation (CV)	1.080648
Kurtosis	30.793929
Mean	56.68969
Median Absolute Deviation (MAD)	22
Skewness	4.0979867
Sum	56633
Variance	3752.9838
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	23	2.3%
15	21	2.1%
29	19	1.9%
32	19	1.9%
26	19	1.9%
9	18	1.8%
19	18	1.8%
20	17	1.7%
31	17	1.7%
22	17	1.7%
Other values (177)	811	81.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	2	0.2%
3	5	0.5%
4	1	0.1%
5	8	0.8%
6	14	1.4%
7	10	1.0%
8	16	1.6%
9	18	1.8%
10	14	1.4%
11	17	1.7%

Value	Count	Frequency (%)
747	1	0.1%
643	1	0.1%
578	1	0.1%
324	1	0.1%
297	1	0.1%
294	1	0.1%
281	1	0.1%
280	1	0.1%
279	1	0.1%
273	1	0.1%

comments
Real number (ℝ)

ZEROS

Distinct	108
Distinct (%)	10.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	18.805806

Minimum	0
Maximum	596
Zeros	112
Zeros (%)	11.2%
Negative	0
Negative (%)	0.0%
Memory size	7.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2.5
median	7
Q3	16
95-th percentile	77
Maximum	596
Range	596
Interquartile range (IQR)	13.5

Descriptive statistics

Standard deviation	45.89965
Coefficient of variation (CV)	2.440717
Kurtosis	55.966033
Mean	18.805806
Median Absolute Deviation (MAD)	5
Skewness	6.5974592
Sum	18787
Variance	2106.7779
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	112	11.2%
2	83	8.3%
4	68	6.8%
3	67	6.7%
5	59	5.9%
1	55	5.5%
6	48	4.8%
7	43	4.3%
9	38	3.8%
10	35	3.5%
Other values (98)	391	39.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	112	11.2%
1	55	5.5%
2	83	8.3%
3	67	6.7%
4	68	6.8%
5	59	5.9%
6	48	4.8%
7	43	4.3%
8	26	2.6%
9	38	3.8%

Value	Count	Frequency (%)
596	1	0.1%
457	1	0.1%
445	1	0.1%
414	1	0.1%
346	1	0.1%
327	1	0.1%
306	1	0.1%
302	1	0.1%
274	1	0.1%
268	1	0.1%

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows
Last rows

	id	author	published_datetime	title	url	complexity	reading_time	views	tags	votes	bookmarks	comments
0	796847	Parker0	2024-02-29 07:00:54+00:00	Chromium. Отрисовка страницы с помощью Blink, CC и планировщика	https://habr.com/ru/articles/796847/	NaN	10	358	[Веб-разработка, Google Chrome, HTML, Браузеры]	2	11	2
1	796921	AnastasiaIvanova8	2024-02-28 12:41:03+00:00	Создание WordPress-плагина для отправки SMS-сообщений	https://habr.com/ru/companies/ru_mts/articles/796921/	NaN	9	723	[Блог компании МТС, WordPress, Веб-разработка, Программирование]	6	16	2
2	793124	Egorzaa	2024-02-28 10:34:27+00:00	Как разработать браузерное расширение в Chrome на React: разбираем на примере Cloudhood	https://habr.com/ru/companies/cloud_ru/articles/793124/	Простой	5	1200	[Блог компании Cloud.ru, Веб-разработка, Open source, IT-инфраструктура]	3	27	1
3	796633	winfox_tech	2024-02-28 07:31:55+00:00	Skunk Works курильщика, или собственный лоу-код на страже продаж	https://habr.com/ru/articles/796633/	Средний	6	639	[Веб-разработка, Программирование, Анализ и проектирование систем]	2	8	0
4	796793	WolodyaCh	2024-02-28 07:21:10+00:00	Telegram Mini Apps с мгновенной оплатой	https://habr.com/ru/articles/796793/	Средний	6	2000	[Веб-разработка, Python, API, Облачные сервисы]	8	53	0
5	796669	DimDimDimDimDim	2024-02-27 15:55:09+00:00	Как быстро написать API на FastAPI с валидацией и базой данных	https://habr.com/ru/companies/selectel/articles/796669/	NaN	11	9000	[Блог компании Selectel, Веб-разработка, Python, API]	34	137	27
6	796579	denis_voronin_habr	2024-02-27 10:20:40+00:00	Динамические Breadcrumbs на React, React Router и Apollo GraphQL	https://habr.com/ru/articles/796579/	Простой	4	1000	[Веб-разработка, JavaScript, ReactJS, TypeScript]	2	17	0
7	794410	sLio	2024-02-26 21:11:11+00:00	Сравнение utility types библиотек или тайпскрипт на стероидах	https://habr.com/ru/articles/794410/	NaN	12	2300	[Веб-разработка, TypeScript]	7	28	8
8	796385	kmoseenk	2024-02-26 15:14:39+00:00	Как украсить и оживить сайт на Astro с помощью KwesForms и Rive	https://habr.com/ru/companies/otus/articles/796385/	NaN	6	549	[Блог компании OTUS, Веб-разработка]	12	12	0
9	796335	DenSyo	2024-02-26 12:46:45+00:00	Концепт бюджетной видеостены неограниченного размера для web-приложения	https://habr.com/ru/articles/796335/	Средний	7	1700	[Веб-разработка, JavaScript, Программирование]	3	19	0

	id	author	published_datetime	title	url	complexity	reading_time	views	tags	votes	bookmarks	comments
989	681866	honyaki	2022-08-10 20:13:37+00:00	Как сократить код Canvas API в Svelte	https://habr.com/ru/companies/skillfactory/articles/681866/	NaN	10	2600	[Блог компании Skillfactory, Веб-разработка, Программирование, TypeScript, SvelteJS]	11	20	0
990	681784	mozg3000tm	2022-08-10 09:38:30+00:00	Простое REST api для сайта на php хостинге	https://habr.com/ru/articles/681784/	NaN	10	28000	[Веб-разработка, PHP, Программирование, API]	4	36	22
991	681422	aio350	2022-08-10 08:44:31+00:00	Заметка о полезных возможностях современного CSS	https://habr.com/ru/companies/timeweb/articles/681422/	NaN	10	13000	[Блог компании Timeweb Cloud, Веб-разработка, CSS]	21	113	11
992	681398	vital_pavlenko	2022-08-08 11:16:51+00:00	Как сделать много форм, не сделав ни одной	https://habr.com/ru/articles/681398/	NaN	8	9700	[Веб-разработка, JavaScript, Node.JS, ReactJS]	4	49	17
993	681284	mr-pickles	2022-08-08 09:42:36+00:00	Устаревшие Python-библиотеки, с которыми пора попрощаться	https://habr.com/ru/companies/wunderfund/articles/681284/	NaN	11	32000	[Блог компании Wunder Fund, Веб-разработка, Python, Программирование]	33	161	29
994	679952	LabEG	2022-08-08 09:00:04+00:00	ReCA: React Clean Architecture state manager	https://habr.com/ru/articles/679952/	NaN	8	3000	[Веб-разработка]	0	8	25
995	680670	aio350	2022-08-04 08:48:41+00:00	Разрабатываем чат с помощью Nest, React и Postgres	https://habr.com/ru/companies/timeweb/articles/680670/	NaN	17	15000	[Блог компании Timeweb Cloud, Веб-разработка, JavaScript, Node.JS, ReactJS]	5	108	11
996	680770	Novak4712	2022-08-04 07:40:58+00:00	Использование шаблонов проектирования группы GoF в React	https://habr.com/ru/companies/rshb/articles/680770/	NaN	9	9600	[Блог компании РСХБ.цифра (Россельхозбанк), Веб-разработка, JavaScript, Node.JS, ReactJS]	6	58	10
997	680382	XNadoricheva	2022-08-02 09:22:31+00:00	Как использовать Docker в приложениях Node.js и React	https://habr.com/ru/companies/rshb/articles/680382/	NaN	4	33000	[Блог компании РСХБ.цифра (Россельхозбанк), Веб-разработка, JavaScript, Node.JS, ReactJS]	3	89	17
998	680240	S__vet	2022-08-02 09:21:40+00:00	Не реактом единым: что полезно знать современному фронтенд-разработчику	https://habr.com/ru/companies/hexlet/articles/680240/	NaN	7	13000	[Блог компании Хекслет, Веб-разработка, Программирование, IT-стандарты, Карьера в IT-индустрии]	8	74	5

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Connector Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Decimal Number

Math Symbol

Space Separator

Dash Punctuation

Close Punctuation

Open Punctuation

Final Punctuation

Initial Punctuation

Currency Symbol

Other Symbol

Connector Punctuation

Most occurring scripts

Most frequent character per script

Cyrillic

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

Punctuation

None

Letterlike Symbols

Arrows

Math Alphanum

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Cyrillic

Most occurring blocks

Most frequent character per block

Cyrillic

Interactions

Missing values

Sample